# Randomization #------------------------------------------------------------- # To solve optimization problem (minimization) using randomly. #------------------------------------------------------------- # Python version used: 2.6 / 2.7 #------------------------------------------------------------- #------------------------------------------------------------- # Step 1: Library Inclusion #------------------------------------------------------------- import random import time import FitnessFunction as FF # Fitness Function and Parameters from __main__ import * # Import 'q' variable from Merge.py where q defines which fitness function to use FF.INIT(q) # INIT Function in FitnessFunction File #------------------------------------------------------------- # Step 2: Random Algorithm Parameters #------------------------------------------------------------- AlgoName = "Random" + str(q) # Algo Name Iterations = 50 # Number of Iterations BestFitness = 9999999999 # Store Best Fitness Value BestChromosome = [] # Store Best Chromosome FunEval = 0 Runs_Random = [] # No of iterations Fitness_Random = [ ] # Set of sets of best fitness for all iterations in each run eg:fitnesses in 1st run --(15,12,6),fitnesses in 2nd run --(17,15,12) so it has [[15,12,6],[17,15,12]] Buffer = [] # Stores best fitness obtained in each run
